There is always a discussion whether or not to combine teaching
of programming with teaching of numerical analysis. It is clear
that teaching of numerical analysis without computing makes
little sense. The following tool tries to minimize the part of
teaching in programming and is now available in the English
language: http://numawww.mathematik.tu-darmstadt.de

Written for undergraduate students with a mathematical
background, this book focuses on the analysis of numerical
methods for ODEs without losing sight of the practical nature of
the subject. It covers the topics traditionally treated in a
first course, but also highlights new and emerging themes,
including error control, dynamical systems, modified equations,
symplectic methods and stochastic differential equations.
Chapters are broken down into `lecture' sized pieces, motivated
and illustrated by numerous theoretical and computational
examples. Over 200 exercises are presented, with solutions
available to authorized instructors.

More details at
http://www.springer.com/mathematics/numerical+and+computational
+mathematics/book/978-0-85729-147-9

"Handbook of Sinc Numerical Methods", Frank Stenger, University
of Utah, Salt Lake City, USA. Series: Chapman and Hall/CRC
Numerical Analysis and Scientific Computation Series. $99.95.
This handbook, consisting mainly of the author's research
work since 1995, presents a family of methods based on sinc
approximation for approximating every operation of calculus in
one dimension, and for solving elliptic, parabolic and hyperbolic
PDE (partial differential equations) in more than one dimension.
It also contains an accompanying CD of over 450 Matlab programs
for illustrating and for facilitating usage of the methods.
One dimensional methods include interpolation, quadrature,
definite and indefinite integration, DFT, and solution of ODE
over finite, semi-infinite and infinite intervals and over
contours. Computational settings are in spaces of analytic
functions that may have "Lip-alpha" type singularities at
end-points, enabling convergence of the order of exp(-c n^{1/2})
for one-dimensional n-point formulas, even when the nature of the
singularities is unknown.
Similarly straight forward are indefinite integration,
indefinite convolution, Hilbert transforms, analytic
continuation, Laplace transform inversion, Cauchy singular
integral equations, Wiener-Hopf problems, Abel-type, fractional
integrals and associated integral equations and conformal maps.
In more than one dimension, analyticity of solutions on
analytic arcs in the domain result for enabling solutions to
elliptic, parabolic and hyperbolic PDE by using one dimensional
Sinc methods (separation of variables) even over curvilinear
regions, provided, in essence, that the PDE, boundary of domain,
etc., are modeled using calculus. This contradicts, under our
assumptions, the Morse & Feshbach 1953 separation of variables
results which they proved for the case of the 3-d Helmholtz and
Poisson equations.

One day workshop on Computational Modelling and Scientific
Computing in Electromagnetism
Friday 14th January 2011
Civil and Computational Engineering Research Centre, College of
Engineering, Swansea University

This one day workshop will be organised jointly by the Welsh
Electromagnetics Network, Dr P.D. Ledger, and the IET.

The aim of the workshop is to bring together representatives from
academia and industry to formulate current research and
industrial challenges in computational modelling and scientific
computation in electromagnetism. The hope is to identify possible
areas where academic/industrial collaborations can be created to
tackle these challenges. The workshop will be open to members of
the Welsh Electromagnetics Network as well as other UK industrial
and academic representatives with an interest in computational
electromagnetism. There will also be opportunities to discuss
collaboration mechanisms between academia and industry.

A website has been setup please keep checking for updates
http://www.em-net.org.uk/news/12-modelling-workshop-invitation.html

The workshop is free. However, if you wish to attend we would be
grateful if could register by sending an email to Nicola Davies
from the Welsh Electromagnetics Network at
daviesns1@cardiff.ac.uk. In your registration email please
highlight which of topics you might be interested in:
Low Frequency Modelling, High Frequency Modelling, Inverse Problems
and Imaging, Modelling EMC Problems, Code Development, Use of
commercial codes, Other

The Distributed and Unified Numerics Environment (DUNE) is a
software framework for the numerical solution of partial
differential equations with grid-based methods. Using generic
programming techniques it strives for both: high flexibility
(efficiency of the programmer) and high performance (efficiency
of the program). DUNE provides, among other things, a large
variety of local mesh refinement techniques, a scalable parallel
programming model, an ample collection of finite element methods
and efficient linear solvers.

This one week course will provide an introduction to the most
important DUNE modules. At the end the attendees will have a
solid knowledge of the simulation workflow from mesh generation
and implementation of finite element and finite volume methods to
visualization of the results. Successful participation requires
knowledge of object-oriented programming using C++ including
generic programming with templates. A solid background on
numerical methods for the solution of PDEs is expected.

The NCAR NESL divisions CGD and MMM as well as NCAR's IMAGe
invite transport scheme developers to attend this "working"
workshop on 2D tracer transport schemes on the sphere. Active
participants are asked to present results from simulations with
their scheme using a newly developed idealized test case that is
easy to setup (analytic winds and initial conditions).

The workshop will take place at NCAR's Mesa Laboratory in
Boulder, Colorado, March 30-31, 2011.

Please send brief abstract to tracer@cgd.ucar.edu by
December 31, 2010.

Final Call for Papers Workshop PCO'11
Parallel Computing and Optimization, May 16-20, 2011
http://spiderman-2.laas.fr/PCO/
Held in conjunction with IEEE IPDPS 2011, Anchorage USA

Scope of the Workshop:
The workshop on new trends in Parallel Computing and Optimization
aims at providing a forum for scientific researchers and
engineers on recent advances in the fields of parallel and
distributed computing for difficult combinatorial optimization
problems, like 0-1 multidimensional knapsack problems and cutting
stock problems, large scale linear programming problems,
nonlinear optimization problems and global optimization
problems. Emphasis will be placed on new techniques for the
solution of these difficult problems like cooperative methods for
integer programming problems and polynomial optimization
methods. Aspects related to Combinatorial Scientific Computing
(CSC) will be treated. New trends in parallel computing like
hybrid computing, peer to peer computing and cloud computing will
be considered. Application to planning, logistics, manufacturing,
finance, telecommunications and computational biology will be
considered.

On behalf of the International Programme Committee, I would like
to heartily encourage you to consider attending the following
conference:

On May 22, 2011 the 90th anniversary of an eminent mathematician,
Professor Nikolaii N. Yanenko, will be celebrated. In
recognition of Nikolaii N. Yanenko's scientific merits the
International Conference "Modern Problems of Applied Mathematics
and Mechanics: theory, experiment and applications" will be held
by the Institute of Computational Technologies and the
Khristianovich Institute of Theoretical and Applied Mechanics of
the Siberian Branch of the Russian Academy of Sciences in
Novosibirsk from May 30 to June 4, 2011.

Conference languages: Russian and English.

Online registration (in Russian or English) and abstract
submission can be done via the Conference website
http://conf.nsc.ru/NikNik-90/ until January, 31, 2011. A one
page abstract (in English and Russian) should be submitted using
a special interface on the Conference website.

The International Conference on Applied Mathematics, Modeling and
Computational Science (AMMCS-2011) will take place in Waterloo,
Ontario, Canada from July 25 - 29, 2011. This is a Laurier
Centennial Conference and a satellite meeting of the ICIAM-2011.

The conference provides a unique opportunity for in-depth
technical discussions and exchange of ideas in mathematical and
computational sciences, as well as their applications in natural
and social sciences, engineering and technology, industry and
finance. It offers to researchers, industrialists, engineers and
students to present their latest research, to interact with the
experts in the field, and to foster interdisciplinary
collaborations required to meet the challenges of modern science,
technology, and society.

Contributed presentations in lecture or poster format are invited
in all areas within the scope of the conference. Prospective
special session and minisymposium organizers are encouraged to
submit their proposals consisting of a title, a description, and
a list of suggested speakers by January 1, 2011 (a list of
confirmed speakers is required by March 1, 2011). Submissions of
abstracts are now being accepted online.

Further information can be found at the conference website:
http://www.wlu.ca/ammcs2011

Applications are invited for a Readership in Numerical Analysis
with effect from October 2011 or as soon as possible
thereafter. All candidates will have research interests in an
area of Numerical Analysis or a similar discipline at the
interface between Applied Analysis and Scientific Computing.

It is anticipated that the successful applicant will have a track
record of substantial, international research achievement in some
area of Numerical Analysis, in a broad sense, including applied
analysis, scientific computing and analysis of PDE. A PhD (or
equivalent) in Mathematics or a related discipline is also a
pre-requisite. Experience of teaching at undergraduate and/or
postgraduate level in applied and numerical analysis and/or
scientific computing is essential. Strong leadership qualities
are also required for this post, including a proven track record
of securing research funding. It will be expected that the
applicant has proven evidence of independent research activity
and a good range of published work in peer-reviewed
journals. Excellent verbal and written communication skills are
essential for this post.

For appointment to Chair, candidates must also have an
exceptionally strong research record in Numerical Analysis or a
closely related discipline. In addition, candidates will be
expected to have extensive experience in postgraduate teaching
and undergraduate teaching across a range of subjects within the
field of Numerical Analysis, together with an excellent track
record of successful postgraduate student supervision and
postdoctoral mentoring.

Further information about the department and the posts can be
found at the website http://www.ma.imperial.ac.uk. Our preferred
method of application is online via the Imperial College Website
www.imperial.ac.uk/employment . Further particulars for the post
are available on the website searching with the reference number
NS2010204JH. Alternatively, if you are unable to apply online or
have any queries about the application process please contact Mrs
Maria Monteiro, m.monteiro@imperial.ac.uk

Closing date: 15 January 2011

Committed to equality and valuing diversity. We are an Athena
Silver SWAN Award winner and Stonewall Diversity Champion.

The Innovative Computing Laboratory at the University of
Tennessee is looking for a bright, motivated person to join as a
staff researcher, to work on development of numerical software
for multicore processors and accelerators within the
PLASMA (Parallel Linear Algebra Software for Multicore
Architectures) and MAGMA (Matrix Algebra for GPUs and Multicore
Architectures) projects.

A candidate with a primary background in computer science is also
expected to have a track record of working with problems in
numerical computing. An ideal candidate would have experience
with solving dense and/or sparse systems of linear equations
and/or eigenvalue problems, but experience in other areas of HPC
can be sufficient.

A candidate with a primary background in numerical mathematics is
also expected to have a solid background in fundamental areas of
computer science including: computer architecture, languages and
compilers, data structures and algorithms, software engineering,
and networking.

Excellent communication skills are essential. Team spirit is
mandatory. A willingness to participate in a highly diverse,
multi-disciplinary environment is also essential. Generally, the
Ph.D. degree is expected, but an M.S. with 3 to 5 years of
related research or work experience will also be considered.

The position offers on-site access to cutting-edge hardware, such
as the latest multi-socket multicore and multi-GPU systems from
Intel, AMD, Nvidia and ATI (sometimes early access). It also
includes access to large scale installations at supercomputer
centers, such as the Jaguar and Kraken system at the Oak Ridge
National Laboratory.

Additional benefits of the position include a competitive salary,
generous vacation and sick leave (36 total days annually), 13
paid annual holidays, flexible health insurance and retirement
plans, tax deferred income plans, paid membership in a
professional organization/society and home Internet connection
reimbursement.

Applicants should apply online at
http://icl.cs.utk.edu/employment/job.html

ICL is actively seeking a motivated individual for a position in
performance evaluation and benchmarking. A successful candidate
will be responsible for implementing benchmarking software for
parallel computer installations. The position requires an
established track record in performance software engineering.

The necessary skill set includes any or all: experience in system
programming, familiarity with hardware accelerators (AMD Fusion,
ATI/NVIDIA GPUs, Intel MIC, etc.), some experience in grid and
cloud environments, pronounced familiarity with parallel
programming.

The position offers access to the latest hardware technology at
large government supercomputing centers and country-wide
scientific cloud environments as well as collaboration
opportunities across academic, government, and commercial
institutions. The job may be geared both towards
research-oriented and industrial position as it offers strong
collaborative opportunities and professional referral services.

Good communication skills and team-oriented attitude is expected.
Both PhD and MS degree holders will be considered: the latter
with substantial experience in a related field.

The department =93Flow and Material Simulation=94 at Fraunhofer ITWM
(Institute for Industrial Mathematics) offers several positions
for researchers and software developers in the area of modelling
and simulation of complex multi-physical industrial problems.

The applicants will work in an interdisciplinary team and with
strong interaction with our industrial customers to develop and
implement specialised simulation methods mainly based on
non-linear PDE systems and multi-scale formulations to realise
user friendly software solutions.

For details about the different positions see:
https://jobs.fraunhofer.de/Vacancies/66023/Description
https://jobs.fraunhofer.de/Vacancies/66080/Description

On behalf of the European Fusion Community the Max-Planck
Institute for Plasma Physics (IPP) and the Garching Computing
Centre of the Max-Planck Society (RZG) have set up a
group (http://www.efda-hlst.eu) for the high level support of
European code developments for magnetic fusion related plasma
physics and material modelling. Experts in high performance
computing and development of numerical algorithms are invited to
apply for a position in this group.

More information can be found under the code number 55/10 at:
http://www.ipp.mpg.de/ippcms/de/job/stellen/index.html

Qualifications
- BS with 5+ years experience or
MS or PhD with 3+ years experience
in Math, Computer Science, Engineering, or a related field
- Experience developing robust, highly performing scientific
software applications through the complete software life cycle
- Experience with C/C++
- Excellent written and verbal communication skills

Nice to Have
- Experience with MATLAB or other technical computing software.
- Experience developing multithreaded scientific software
applications using technologies like TBB or OpenMP.

Detail for second position:
Apply for this MATLAB Math Quality Engineer position:
http://bit.ly/er9I3o

Job Summary
As a Quality Engineer for the MATLAB Math team you will be
responsible for developing and implementing test plans, creating
automated test suites and conducting hands-on testing of the core
MATLAB Math features including Multithreaded support for
MATLAB. As a member of the quality engineering team, you will
participate in projects from their early design stages and play a
critical role in driving it to final product release.

Responsibilities
- Working closely with Engineering to participate in design
reviews and help guide the direction of the product
- Creating test plans and test suites
- Writing automated function and system tests in MATLAB
- Reporting bugs and verifying fixes
- Evaluating product performance

Qualifications

- BS degree in Engineering, Computer Science or Math and 5+yrs of
experience, or MS and equivalent professional work experience
- Strong programming experience in MATLAB
- Hands on experience with multiple operating systems (Windows,
UNIX)
- Experience working with numerical computing systems and
applications a plus
- Quality Engineering experience is a plus
- Knowledge of C/C++ a plus

Post Doctoral Fellowship
Large Scale Optimization for Renewable and Non-Renewable Energy
Technologies
Department of Mathematics and Statistics
Memorial University of Newfoundland

Overview: The project "Large Scale Optimization for Renewable
and Non-Renewable Energy Technologies", is an research project
led by Ronald Haynes in the Department of Mathematics and
Statistics at Memorial University of Newfoundland, and funded (in
part) by the Research Development Corporation of the province of
Newfoundland and Labrador and the Atlantic Innovation Fund.
Candidates are sought for a Post-Doctoral Fellowship
position. The purpose of this project is to explore and develop
strategies capable of handling high dimensional optimization
problems with very expensive objective function evaluations.

The algorithms and software developed will make use of
high-performance, multi-core, shared- memory computer
architectures. Development will be carried out on a combination
of large scale traditional computing clusters as well as fast gpu
workstations. Of particular interest are applications of these
techniques to problems related to offshore oil and gas
development and allocation of resources in the design of wind and
tidal turbine "farms".

Required Qualifications: The successful candidate will have a PhD
in Applied Mathematics, Numerical Analysis, Physics,
Computational Science, or similar discipline with a background in
scientific computation and programming experience in at least one
of the two languages FORTRAN90 and C/C++. Matlab experience would
be an asset.

Candidates who are in the final year of a PhD programme and who
will have completed all the requirements for their programme by
the start date of the position will also be considered.

Duration: The position is for two years, subject to suitable
performance. The start date for the position is negotiable, but
before April 1, 2010 is preferred. The salary range for this
position will be CAD\$45,000 to CAD\$50,000 commensurate with
qualifications and experience.

Application: Please submit a curriculum vitae, research
statement (including previous research experience and career
goals) and arrange to have three letters of recommendation sent
directly to:

Three postdoctoral positions are available in George Biros's
group in the School of Computational Science and Engineering.
Each of the three positions will focus on a separate subject
matter: (1) high-performance computing; (2) numerical algorithms
for inverse problems; and (3) algorithms for medical imaging.

More information can be found at:
www.cc.gatech.edu/~gbiros/positions.html.

Questions regarding these positions can be sent by email to
George Biros (www.cc.gatech.edu/~gbiros).